I am a third year PhD student in the Seismology team of the Institut de Physique du Globe de Strasbourg. My research, funded by a French Government fellowship, uses cutting-edge Markov Chain Monte Carlo methods to explore co-seismic slip distribution of large earthquakes. This stochastic approach provides solid posterior uncertainty estimates while avoiding any non-physical smoothing regularization constraints.
In this EGU 2017 poster, we presented a stochastic co-seismic slip distribution of the 2016 Pedernales earthquake (Ecuador, Mw = 7.8) that was computed from the joint inversion of an extensive geodetic dataset. We show that the elastic strain released during the 2016 earthquake might exceeds what was accumulated since the big 1942 earthquake.

About EGU

EGU, the European Geosciences Union, is Europe’s premier geosciences union, dedicated to the pursuit of excellence in the Earth, planetary, and space sciences for the benefit of humanity, worldwide. It was established in September 2002 as a merger of the European Geophysical Society (EGS) and the European Union of Geosciences (EUG), and has headquarters in Munich, Germany.